Deepsense.ai has a five-year strategy to become a European AI powerhouse

With the artificial intelligence and machine learning market set to grow by 50% every year, according to Gartner and Deloitte, Polish tech firm deepsense.ai has released its five-year plan calibrated towards making the most of the booming industry

Deepsense.ai, based in Warsaw, aims to become a European powerhouse in artificial intelligence

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Deepsense.ai has announced a five-year plan that it hopes will propel the tech company into a European powerhouse in artificial intelligence (AI) and machine learning.

In a bid to increase its size by 500%, the Polish firm plans to focus on using statistics to predict outcomes (predictive modelling) and improve computers’ understanding of digital images or videos (computer vision), as well as their processing of human languages (natural language processing).

This comes at a time when multinational professional services network Deloitte and global research and advisory firm Gartner are predicting a 50% annual growth rate in the AI and machine learning industry over the next few years.

Deepsense.ai CEO Tomasz Kulakowski said: “The opportunity is immense – it’s no longer only a field for academic research.

“Companies are joining the party and want to see real business results from AI.

“Our full attention and a coherent plan on where we believe change will happen, and where we will focus our activities, were therefore essential.”

Tomasz Kulakowski, CEO of deepsense.ai

Perfect timing by deepsense.ai

Mr Kulakowski’s company has timed its five-year plan well, with the AI and machine learning market looking set for rapid growth in the immediate future.

A study by Gartner earlier this year predicted the global business value derived from AI would reach $1.2tn (£940bn) in 2018, an increase of 70% from 2017, and $3.9tn (£3.1tn) in 2022.

Gartner’s research vice-president John-David Lovelock said: “AI promises to be the most disruptive class of technologies during the next ten years due to advances in computational power, volume, velocity and variety of data, as well as advances in deep neural networks.

“One of the biggest aggregate sources for AI-enhanced products and services acquired by enterprises between 2017 and 2022 will be niche solutions that address one need very well.

“Business executives will drive investment in these products, sourced from thousands of narrowly focused, specialist suppliers with specific AI-enhanced applications.”

Meanwhile, research by Deloitte indicates that machine learning technology will become more ubiquitous among large and medium-sized enterprises.

It predicts double the number of machine learning pilot implementations in 2018 than there were last year, and a spending increase on the technology from $12bn (£9.4bn) in 2017 to $57.6bn (£45.4bn) in 2021.

Breaking down the deepsense.ai framework

In addition to focusing on the predictive modelling, computer vision and natural language processing technologies, the Warsaw-based company will invest in advanced various research and development activities.

This work will couple with its ongoing joint research with partners such as Google, Intel and Nvidia.

Mr Kulakowski said: “We see reinforcement learning as a technology of the future and that’s why we focus on it in our research – it can reshape the landscape in various ways.

“There’s no challenge in following the trail blazers. Real technological leadership means being the trail-blazer.”

Deepsense.ai will also provide specific training to companies looking to improve their AI capabilities to create a more robust community around the tech that promotes innovation.

“Our most formidable competition is not other AI providers, but doubt and a lack of practical knowledge about AI solutions,” added Mr Kulakowski.

“That’s why we share our knowledge with other companies during seminars, training and tech-talks, providing both education and mentoring for organisations that would like to transform their business using AI.”